Web services technology is becoming increasingly ubiquitous and gaining rapid adoption due to its support for integration of distributed autonomous components. Testing is necessary to assure the performance and functional correctness of web services. Many commercial as well as opensource tools are available today for web service testing. In this paper, we present results of a brief survey of web service testing tools. The study will provide an informative overview and may help in selection and use of appropriate testing tools.
The advent of smart devices, interacting with each other as well as remote services, has paved the way for the Internet of Everything (IoE). IoE is a direct successor of Internet of Things (IoT), composed of smart devices interacting with remote services. The devices in an IoE environment are power constrained. At the core of an IoE environment, there is a context-aware system that gathers the context and classifies it. Various datasets have been published by authors for context-aware systems. This paper presents a mechanism that gathers a dataset of contextual information along with power information using smartphones. An Android application “PowerIpsum” is developed for gathering contextual information, power information, and user input activity labels. The dataset includes the sensor data as the contextual data, timestamps, average current, and average voltage as well as user activity labels. Time elapsed and power consumption is forecasted using Monte Carlo method. The results provide useful insights and demonstrate the advantages of power information within a context-aware system.
Web services technology gained popularity in recent years and became an evident model of Web. The benefits offered by web services include provision of platform for interaction of several applications through the Internet. Users interact with web services by means of Internet. The tremendous advancement in Internet technology has enabled new form of services and activities. Performance of web services is of great importance to the users and is heavily dependent on underlying Internet access technologies. In this paper, we describe three mostly used Internet access technologies and analyze the performance of web services over these technologies by using open-source web service testing tools. Results of the comparison will help in better understanding the impact of these technologies on performance of web services, and also selection and usage of suitable Internet access technologies for web services.
The advent of the 4th industrial revolution has realized smart environments composed of cloud and fog. These have been improved to enable intelligence at the fog, where numerous, inexpensive devices communicate with each other and provide computation capabilities to solve domain-specific problems in a distributed fashion. One of these domains is smart traffic flow with a focus on emergency vehicle (EV) transit. The increase in traffic congestion in third-world countries is a hindrance in EV transit to save human lives. This paper proposes an Artificial Intelligence of Things– (AIoT–) based, distributed, EV transit system developed on Raspberry PI as a rule-based system with minimal sensors. The sensors include an infrared sensor to detect emergency light and directional microphones to detect siren. The departure direction of the EV is shared with adjacent intersections to further reduce the transit time.
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